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TROB
2010
96views more  TROB 2010»
15 years 5 months ago
Stochastic Modular Robotic Systems: A Study of Fluidic Assembly Strategies
Abstract—Modular robotic systems typically assemble using deterministic processes where modules are directly placed into their target position. By contrast, stochastic modular ro...
Michael Thomas Tolley, Michael Kalontarov, Jonas N...
315
Voted
FASE
2011
Springer
14 years 11 months ago
Automated Learning of Probabilistic Assumptions for Compositional Reasoning
Probabilistic verification techniques have been applied to the formal modelling and analysis of a wide range of systems, from communication protocols such as Bluetooth, to nanosca...
Lu Feng, Marta Z. Kwiatkowska, David Parker
POPL
2012
ACM
14 years 3 months ago
Deciding choreography realizability
Since software systems are becoming increasingly more concurrent and distributed, modeling and analysis of interactions among their components is a crucial problem. In several app...
Samik Basu, Tevfik Bultan, Meriem Ouederni
208
Voted
JMLR
2012
13 years 10 months ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
234
Voted
CVPR
2012
IEEE
13 years 10 months ago
Semantic structure from motion with points, regions, and objects
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...
Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio ...